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Throughput-Optimal Opportunistic Scheduling in the Presence of Flow-Level Dynamics

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3 Author(s)
Shihuan Liu ; Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Lei Ying ; Srikant, R.

We consider multiuser scheduling in wireless networks with channel variations and flow-level dynamics. Recently, it has been shown that the MaxWeight algorithm, which is throughput-optimal in networks with a fixed number of users, fails to achieve the maximum throughput in the presence of flow-level dynamics. In this paper, we propose a new algorithm, called Workload-based Scheduling with Learning, which is provably throughput-optimal, requires no prior knowledge of channels and user demands, and performs significantly better than previously suggested algorithms.

Published in:

Networking, IEEE/ACM Transactions on  (Volume:19 ,  Issue: 4 )